更新Watson STT语言模型时出现内部服务器错误
Let’s break down the error you hit when trying to train your custom Watson Language Model first:
"error": "{"code":500,"code_description":"Internal Server Error","error":"sreq 95f48de6 aborted PUT ServiceUrl(customizationsStore,customizations/682ed9c9-fbab-48dc-8c6c-44b46c23e2db/patch.en-US_BroadbandModel.v2017-11-15) {} after timeout of 100.000000s."}"
This 500 error comes from a timeout during the PUT request to update your custom model (682ed9c9-fbab-48dc-8c6c-44b46c23e2db) using the en-US_BroadbandModel.v2017-11-15 base model. Here are actionable steps to resolve this:
- Audit your training data: Timeouts often trigger with large, unoptimized, or malformed datasets. Double-check that your transcripts follow Watson’s formatting rules—no invalid characters, consistent structure, and avoid excessively long utterances. Splitting overly large datasets into smaller batches can also help prevent timeouts.
- Adjust request timeout settings: If you’re calling the API directly, try increasing your client-side timeout above the 100s threshold shown in the error. If you’re using an SDK, look for configuration options to extend request timeouts (most SDKs let you set this per request or globally).
- Check the model’s current status: Use the
GET /v1/customizations/{customization_id}endpoint to pull the latest status of your model. This might reveal if it’s stuck in a failed state or has other underlying issues the initial error didn’t capture. - Reach out to IBM Support with key details: Since this is an internal server error, sharing the error ID (
sreq 95f48de6), your customization ID, base model version, training data specs (size, format), and the full request payload will help their team diagnose the problem quickly.
If the model is already unusable, your best bet is to create a new customization, validate your training data thoroughly, and re-initiate the training process with adjusted timeout settings.
内容的提问来源于stack exchange，提问作者Luffa
